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Strategy: BinClucMadDevelop_99
Downloaded: 20220116
Stoploss: -0.99
5mSpotv2UnbiasedLink


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Average Overall
BuysAvgprofTotProfWin%DD%Time
580.11.481.53.451.8
SharpeSortinoCalmar
1.261.2110.09
Prof.FactorExpectancyCagr
0.3300
Trades/DayRejected Signals
2.1927.5
Ninja Score: 64
The BinClucMadDevelop strategy is a trading strategy implemented in a backtesting website. Here is a short description of what the strategy does: The populate_indicators function calculates and adds various indicators to the input dataframe, including informative indicators based on a different timeframe. The populate_buy_trend function identifies buy conditions based on specific criteria and sets corresponding flags in the dataframe.

It sets multiple conditions flags for different buy conditions.

These conditions include checks on moving averages (EMA), price dips, Bollinger Bands, RSI, MFI, and volume.

The flags enable or disable specific conditions based on configurable parameters. The conditions are evaluated using various mathematical and logical operations. If a buy condition is met, the corresponding flag is set to 1. Please note that the provided code snippet seems to be incomplete, as it cuts off in the middle of an expression. The missing part might contain additional buy conditions or other relevant information for the strategy.

startup_candle_count : 200
ema_50_1h: 0.001%
ema_100_1h: -0.041%
stoploss: -0.99
timeframe: 5m
hash(sha256): 6330bd2bded9a713d949016c6034583c1209b984e88a13def16a62090017ca35
indicators:
sma_200_1h v9_buy_condition_4_enable ema_200 ema_50 v9_buy_condition_8_enable
close sma_5 tail v9_buy_condition_1_enable bb_lowerband
mfi bbdelta v6_buy_condition_3_enable buy_cond_cluc volume
v6_buy_condition_2_enable closedelta date conditions_count open
v8_buy_condition_3_enable ssma_5 volume_mean_slow v9_buy_condition_7_enable v9_buy_condition_3_enable
v9_buy_condition_6_enable ema_50_1h sma_200 v8_buy_condition_0_enable buy_cond_bin
v9_buy_condition_10_enable mid v6_buy_condition_0_enable b

Similar Strategies: (based on used indicators)

Strategy: BinClucMadDevelop, Similarity Score: 94.29%
Strategy: BinClucMadDevelop_197, Similarity Score: 88.57%
Strategy: BinClucMadDevelop_2, Similarity Score: 88.57%
Strategy: BinClucMadSMADevelop_100, Similarity Score: 85.71%
Strategy: BinClucMadSMADevelop_2, Similarity Score: 85.71%
Strategy: BinClucMadSMADevelop13X, Similarity Score: 82.86%

last change: 2024-04-01 23:43:00